The Capacity Study of Dry Port Based on the Prediction Model of Neural Network in Jinan

被引：0

作者：

Meng Xiangru ^{[1
]}

Feng Minren ^{[1
]}

机构：

[1] Shandong Jiaotong Univ, Jinan, Shandong, Peoples R China

来源：

PROCEEDINGS OF THE 2017 6TH INTERNATIONAL CONFERENCE ON ENERGY AND ENVIRONMENTAL PROTECTION (ICEEP 2017) | 2017年 / 143卷

关键词：

Dry Port; Neural network; Capacity study;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

At present, the construction and layout of the inland dry port, the possibility and feasibility of construction are the focus of the research. The capacity of dry port in Jinan is fully analyzed on the basis of reference to the advanced operation mode and development experience of the excellent non-water port in the country and abroad. This paper first establishes the forecast indicators; Then the influence factors of the cargo turnover in Jinan were analyzed. Finally, the data of Jinan cargo was predicted using neural network model.

引用

页码：26 / 29

页数：4

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